Searching for biomarker patterns characterizing carotid atherosclerotic burden in patients with reduced renal function

@article{citeulike:2191710, abstract = {Background. Evidence linking chronic kidney disease (CKD) with the increased risk of cardiovascular (CV) complications is firm. It is becoming clear that testing functions of the vascular endothelium in conjunction with various biomarkers may better the definition of CV risk profile in CKD patients. Methods. Using Multiplexed analysis of 16 markers reflecting pro-inflammatory, anti-inflammatory, angiogenic, metabolic and anti-fibrinolytic factors in a series of 75 patients with CKD, who underwent echo-coloured Doppler study of carotid arteries, we analysed the contribution of each parameter to the characterization of atherosclerotic burden. As control group we enrolled 33 healthy individuals. Results. On univariate analysis, intima-media thickness, number of atherosclerotic plaques and internal diameter of carotid arteries were strongly interrelated. Starting with these indicators of carotid atherosclerosis, we extracted by principal component analysis a single composite atherosclerosis severity score that accounted for 68\% of the total variance of original variables. Biomarkers significantly related to severity of carotid atherosclerosis were MMP9, t-PAI-1, IL-6, NT-proBNP, IL-8 and VEGF. In multiple linear regression models adjusting for clinical variables the gain in prediction power was achieved when we added MMP9 and t-PAI-1 to the basic model. IL-6 produced the highest increase in the multiple R2 of the basic model. The combination of MMP9, t-PAI-1, IL-6, NT-proBNP, IL-8 and VEGF added to the basic model achieved gain in prediction power of + 7.5\%. In this expanded model, IL-6 was the only biomarker that significantly predicted the severity of atherosclerosis. Conclusion. Multiplexed screening revealed that IL-6, MMP-9, tPAI-1 and VEGF showed a tight correlation with carotid atherosclerotic burden in patients with CKD. 10.1093/ndt/gfm418}, author = {Addabbo, Francesco and Mallamaci, Francesca and Leonardis, Daniela and Tripepi, Rocco and Tripepi, Giovanni and Goligorsky, Michael S. and Zoccali, Carmine }, citeulike-article-id = {2191710}, doi = {http://dx.doi.org/10.1093/ndt/gfm418}, journal = {Nephrol. Dial. Transplant.}, keywords = {atherosclerosis, biomarker}, month = {December}, number = {12}, pages = {3521--3526}, posted-at = {2008-01-03 15:54:35}, priority = {2}, title = {Searching for biomarker patterns characterizing carotid atherosclerotic burden in patients with reduced renal function}, url = {http://dx.doi.org/10.1093/ndt/gfm418}, volume = {22}, year = {2007} }

TY - JOUR ID - citeulike:2191710 L3 - citeulike-article-id:2191710 N2 - Background. Evidence linking chronic kidney disease (CKD) with the increased risk of cardiovascular (CV) complications is firm. It is becoming clear that testing functions of the vascular endothelium in conjunction with various biomarkers may better the definition of CV risk profile in CKD patients. Methods. Using Multiplexed analysis of 16 markers reflecting pro-inflammatory, anti-inflammatory, angiogenic, metabolic and anti-fibrinolytic factors in a series of 75 patients with CKD, who underwent echo-coloured Doppler study of carotid arteries, we analysed the contribution of each parameter to the characterization of atherosclerotic burden. As control group we enrolled 33 healthy individuals. Results. On univariate analysis, intima-media thickness, number of atherosclerotic plaques and internal diameter of carotid arteries were strongly interrelated. Starting with these indicators of carotid atherosclerosis, we extracted by principal component analysis a single composite atherosclerosis severity score that accounted for 68% of the total variance of original variables. Biomarkers significantly related to severity of carotid atherosclerosis were MMP9, t-PAI-1, IL-6, NT-proBNP, IL-8 and VEGF. In multiple linear regression models adjusting for clinical variables the gain in prediction power was achieved when we added MMP9 and t-PAI-1 to the basic model. IL-6 produced the highest increase in the multiple R2 of the basic model. The combination of MMP9, t-PAI-1, IL-6, NT-proBNP, IL-8 and VEGF added to the basic model achieved gain in prediction power of + 7.5%. In this expanded model, IL-6 was the only biomarker that significantly predicted the severity of atherosclerosis. Conclusion. Multiplexed screening revealed that IL-6, MMP-9, tPAI-1 and VEGF showed a tight correlation with carotid atherosclerotic burden in patients with CKD. 10.1093/ndt/gfm418 IS - 12 JF - Nephrol. Dial. Transplant. EP - 3526 TI - Searching for biomarker patterns characterizing carotid atherosclerotic burden in patients with reduced renal function VL - 22 SP - 3521 KW - atherosclerosis KW - biomarker AU - Addabbo, Francesco AU - Mallamaci, Francesca AU - Leonardis, Daniela AU - Tripepi, Rocco AU - Tripepi, Giovanni AU - Goligorsky, Michael AU - Zoccali, Carmine PY - 2007/12/01/ UR - http://dx.doi.org/10.1093/ndt/gfm418 ER -